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Suppress Scientific Notation in Numpy When Creating Array From Nested List
I have a nested Python list that looks like the following:
4 Answers
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Android Fragment onClick button Method
I'm trying to invoke the method in my onClick (View v) XML, but does not work with Fragment. This is the error.
6 Answers
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Unit testing with Spring Security
... override the configuration, which can be done at runtime or slipping some XML onto the classpath. Even using annotation injection would be overridable with external XML. Such XML could inject the running system with a rogue principal.
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Build and Version Numbering for Java Projects (ant, cvs, hudson)
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Your build.xml
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<property name="version" value="1.0"/>
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<target name="jar" depends="compile">
<buildnumber file="build.num"/>
<manifest file="MANIFEST.MF">
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<attribute name="M...
Which is better in python, del or delattr?
... The dis module. You can run it from the command line using python -m dis and typing in some code, or disassemble a function with dis.dis().
– Miles
Jul 13 '09 at 18:04
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Python argparse ignore unrecognised arguments
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Nor did I! I even missed it in the docs docs.python.org/library/…. Thanks
– joedborg
Oct 10 '12 at 14:11
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Calculating Pearson correlation and significance in Python
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@dfrankow I think it's because imap cannot handle float. python gives an TypeError: unsupported operand type(s) for -: 'itertools.imap' and 'float' at num = psum - (sum_x * sum_y/n)
– alvas
Jan 24 '13 at 14:17
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What is the pythonic way to detect the last element in a 'for' loop?
I'd like to know the best way (more compact and "pythonic" way) to do a special treatment for the last element in a for loop. There is a piece of code that should be called only between elements, being suppressed in the last one.
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How is set() implemented?
I've seen people say that set objects in python have O(1) membership-checking. How are they implemented internally to allow this? What sort of data structure does it use? What other implications does that implementation have?
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Are list-comprehensions and functional functions faster than “for loops”?
In terms of performance in Python, is a list-comprehension, or functions like map() , filter() and reduce() faster than a for loop? Why, technically, they run in a C speed , while the for loop runs in the python virtual machine speed ?.
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